Short Trade on VANA 27 Sep 2025 at 23:13:02

Take profit at 4.0217 (0.92 %) and Stop Loss at 4.0776 (0.46 %)

Short Trade on VANA

The 27 Sep 2025 at 23:13:02

With 429.1812 VANA at 4.059$ per unit.

Position size of 1742.0463 $

Take profit at 4.0217 (0.92 %) and Stop Loss at 4.0776 (0.46 %)

That's a 2.01 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -90
ML Pullback Score: 3.82
Prediction Score: 1
Prediction 1 Probability
Weak Trade
0.78
Prediction 2 Probability
0 0.53
Prediction 3 Probability
0 0.63
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : bear_low

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low

BTC Correlation Score

5m : 0.434991

15m : -0.052705

1H : 0.086055

1

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.14
  4. atr: 0.01242676472
Details
  1. score: 1.14
  2. 1H
  3. ema9 : 4.08602
  4. ema21 : 4.12496
  5. ema50 : 4.166
  6. ema100 : 4.22492
  7. price_ema9_diff : -0.00661392
  8. ema9_ema21_diff : -0.00943953
  9. ema21_ema50_diff : -0.00985201
  10. price_ema100_diff : -0.0392722
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.274315
  14. ema_slope_21 : -0.128943
  15. ema_slope_50 : -0.0759923
  16. ema_slope_100 : -0.0625596
  17. rsi : 0.41813
  18. adx : 0.201791
  19. kc_percentage : 0.231358
  20. kc_width_percentage : 0.0589104
  21. volume_ema_diff : -0.625117
  22. volume_ema1 : 96955.176697756
  23. volume_ema2 : 258628.17330431
  24. chop : 45.9224
  25. regime : bear_high
  26. ¸
  27. 15m
  28. ema9 : 4.03317
  29. ema21 : 4.06439
  30. ema50 : 4.11175
  31. ema100 : 4.13937
  32. price_ema9_diff : 0.00640211
  33. ema9_ema21_diff : -0.00768083
  34. ema21_ema50_diff : -0.011517
  35. price_ema100_diff : -0.0194168
  36. all_emas_in_trend : True
  37. all_emas_and_price_in_trend : False
  38. ema_slope_9 : -0.208852
  39. ema_slope_21 : -0.169088
  40. ema_slope_50 : -0.105649
  41. ema_slope_100 : -0.0611085
  42. rsi : 0.457448
  43. adx : 0.282829
  44. kc_percentage : 0.473446
  45. kc_width_percentage : 0.0272227
  46. volume_ema_diff : -0.2155
  47. volume_ema1 : 30640.144161835
  48. volume_ema2 : 39056.941695337
  49. chop : 29.1064
  50. regime : bear_medium
  51. ¸
  52. 5m
  53. ema9 : 4.03327
  54. ema21 : 4.02757
  55. ema50 : 4.0524
  56. ema100 : 4.08493
  57. price_ema9_diff : 0.00637828
  58. ema9_ema21_diff : 0.00141541
  59. ema21_ema50_diff : -0.00612858
  60. price_ema100_diff : -0.00634974
  61. all_emas_in_trend : False
  62. all_emas_and_price_in_trend : False
  63. ema_slope_9 : 0.0607481
  64. ema_slope_21 : 0.0012599
  65. ema_slope_50 : -0.0353016
  66. ema_slope_100 : -0.0340214
  67. rsi : 0.638715
  68. adx : 0.303196
  69. kc_percentage : 1.14122
  70. kc_width_percentage : 0.0122153
  71. volume_ema_diff : 0.247127
  72. volume_ema1 : 12705.565825594
  73. volume_ema2 : 10187.862497142
  74. chop : 29.1789
  75. regime : range_low
  76. ¸
  77. btc_indicators
  78. btc_indicators
  79. 5m_ema100:
    109443
  80. 5m_price_ema100_diff:
    -0.000227105
  81. 5m_price:
    109418
  82. 5m_correlation_with_coin:
    0.434991
  83. btc_indicators
  84. 15m_ema100:
    109382
  85. 15m_price_ema100_diff:
    0.000328973
  86. 15m_price:
    109418
  87. 15m_correlation_with_coin:
    -0.052705
  88. btc_indicators
  89. 1H_ema100:
    110260
  90. 1H_price_ema100_diff:
    -0.00763597
  91. 1H_price:
    109418
  92. 1H_correlation_with_coin:
    0.086055
  93. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
27 Sep 2025
23:13:02
27 Sep 2025
23:15:00
1 minute

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
4.059 4.0776 4.0217 2.01 1.465
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 4.059
  • Stop Loss: 4.0776
  • Take Profit: 4.0217

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 4.0776 - 4.059 = 0.0186

  • Récompense (distance jusqu'au take profit):

    E - TP = 4.059 - 4.0217 = 0.0373

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0373 / 0.0186 = 2.0054

📌 Position Size

Amount Margin Quantity Leverage
1742.0463 100 429.1812 17.42
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0186

Taille de position = 8 / 0.0186 = 430.11

Taille de position USD = 430.11 x 4.059 = 1745.82

Donc, tu peux acheter 430.11 avec un stoploss a 4.0776

Avec un position size USD de 1745.82$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 430.11 x 0.0186 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 430.11 x 0.0373 = 16.04

Si Take Profit atteint, tu gagneras 16.04$

Résumé

  • Taille de position 430.11
  • Taille de position USD 1745.82
  • Perte potentielle 8
  • Gain potentiel 16.04
  • Risk-Reward Ratio 2.0054

📌 Peformances

TP % Target TP $ Target
0.92 % 16.01 $
SL % Target SL $ Target
0.46 % 7.98 $
PNL PNL %
-7.98 $ -0.46
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.4927 % 107.53 % 1

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.0217
            [entry_price] => 4.059
            [stop_loss] => 4.07946
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-27 23:45:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.0217
            [entry_price] => 4.059
            [stop_loss] => 4.08132
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-27 23:55:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.0217
            [entry_price] => 4.059
            [stop_loss] => 4.08318
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-27 23:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.0217
            [entry_price] => 4.059
            [stop_loss] => 4.0869
            [rr_ratio] => 1.34
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-28 01:05:00
            [result] => win
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.06
            [max_drawdown] => 0.024999999999999
            [rr_ratio] => 2.4
            [high] => 4.08400000
            [low] => 3.99900000
            [mfe_pct] => 1.48
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 2.4
            [candles_analyzed] => 24
            [start_at] => 2025-09-27T23:13:02-04:00
            [end_at] => 2025-09-28T01:13:02-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.079
            [max_drawdown] => 0.024999999999999
            [rr_ratio] => 3.16
            [high] => 4.08400000
            [low] => 3.98000000
            [mfe_pct] => 1.95
            [mae_pct] => 0.62
            [mfe_mae_ratio] => 3.16
            [candles_analyzed] => 84
            [start_at] => 2025-09-27T23:13:02-04:00
            [end_at] => 2025-09-28T06:13:02-04:00
        )

    [breakout] => Array
        (
            [high_before] => 4.18300000
            [high_after] => 4.08400000
            [low_before] => 3.98800000
            [low_after] => 3.99900000
            [is_new_high] => 
            [is_new_low] => 
        )

)